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Record W4404962311 · doi:10.3889/oamjms.2024.11892

Pyogenic Abscess Liver Secondary to Perforated Appendicitis

2024· article· en· W4404962311 on OpenAlexaff
Syahar Banu

Bibliographic record

VenueOpen Access Macedonian Journal of Medical Sciences · 2024
Typearticle
Languageen
FieldMedicine
TopicAmoebic Infections and Treatments
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicinePyogenic liver abscessAbscessLiver abscessPercutaneousSurgeryAbdomenAppendicitisAbdominal painCeftriaxoneAntibiotics

Abstract

fetched live from OpenAlex

BACKGROUND: Pyogenic liver abscess (PLA) secondary to perforated appendicitis can be potentially life-threatening. However, the mortality of PLA has decreased due to earlier and improved diagnosis, development of intensive care, and progression of minimally invasive treatment. Here we present a patient with a pyogenic liver abscess formed after appendectomy. CASE REPORT: A 40-year-old man complained of abdominal pain in the right upper quadrant for the last month. Examination of his abdomen showed enlarged liver, approximately 3 fingers below costae. Laboratory results showed an increased white blood count of 14.000 /mL and slight hypoalbuminemia of 2.9 g/dL. An ultrasound showed liver abscess. The abdominal CT revealed a 6,78 cm x 6,18 cm x 5,4 cm lobulated hypodense cystic mass. The patient was treated with 3rd generation Cephalosporin and underwent percutaneous drainage with Escherichia coli growth on the culture result. The patient was discharged on the 8th day after admission with significant improvement dan there are no other complications. CONCLUSION: Early diagnosis and prompt treatment can lead to a better prognosis. Antibiotic is recommended in early treatment to lower bacterial load and control the symptoms of systemic infections. However, effective drainage is recognized as the most effective treatment for large liver abscess, since it could lower bacterial load and increase antibiotic penetration into the abscess.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.099
GPT teacher head0.463
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueOpen Access Macedonian Journal of Medical SciencesSame topicAmoebic Infections and TreatmentsFrench-language works237,207